Here, we use the term “NVIDIA vGPU” as a synonym for the software product you choose from the vGPU family of products. This vGPU family includes the “NVIDIA Virtual ComputeServer”, (VCS) and the “NVIDIA Quadro Virtual Datacenter Workstation” (vDWS) products for GPU access and management on vSphere, as well as other products.
The method of GPU usage on vSphere described here makes use of the products within the NVIDIA vGPU family. In this article, we describe the NVIDIA vGPU (formerly “Grid”) method for using GPU devices on vSphere. The focus in this blog is on the use of GPUs for compute workloads (such as for machine learning, deep learning and high performance computing applications) and we are not looking at GPU usage for virtual desktop infrastructure (VDI) here. Part 4 explores the setup for the Bitfusion Flexdirect method of using GPUs Part 3 gives details on setting up the NVIDIA Virtual GPU (vGPU) technology for GPUs on vSphere Part 2 describes the DirectPath I/O (Passthrough) mechanism for GPUs Part 1 of this series presents an overview of the various options for using GPUs on vSphere
This is part 3 of a series of blog articles on the subject of using GPUs with VMware vSphere.
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